Youssef Mroueh

ORCID

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 86

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson
Physics-enhanced deep surrogates for partial differential equations. Nat. Mac. Intell. 5 (12) (2023)
Brian Belgodere, Pierre L. Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jiri Navartil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs. CoRR (2023)
Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh
Learning with Stochastic Orders. ICLR (2023)
Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jerret Ross
Risk Assessment and Statistical Significance in the Age of Foundation Models. CoRR (2023)
Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh
Learning with Stochastic Orders. CoRR (2022)
Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. ECML/PKDD (6) (2022)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. J. Artif. Intell. Res. 73 (2022)
Steven Durr, Youssef Mroueh, Yuhai Tu, Shenshen Wang
Effective Dynamics of Generative Adversarial Networks. CoRR (2022)
David Alvarez-Melis, Yair Schiff, Youssef Mroueh
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks. Trans. Mach. Learn. Res. 2022 (2022)
Carles Domingo-Enrich, Youssef Mroueh
Tighter Sparse Approximation Bounds for ReLU Neural Networks. ICLR (2022)
Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. CoRR (2022)
Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das
Large-scale chemical language representations capture molecular structure and properties. Nat. Mac. Intell. 4 (12) (2022)
Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath K. Sriperumbudur
Cycle Consistent Probability Divergences Across Different Spaces. AISTATS (2022)
Carles Domingo-Enrich, Youssef Mroueh
Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence. CoRR (2022)
Ching-Yao Chuang, Youssef Mroueh
Fair Mixup: Fairness via Interpolation. ICLR (2021)
Raphaël Pestourie, Youssef Mroueh, Chris Rackauckas, Payel Das, Steven G. Johnson
Physics-enhanced deep surrogates for PDEs. CoRR (2021)
David Alvarez-Melis, Yair Schiff, Youssef Mroueh
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks. CoRR (2021)
Youssef Mroueh, Truyen Nguyen
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow. AISTATS (2021)
Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka
Measuring Generalization with Optimal Transport. NeurIPS (2021)
Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das
Do Large Scale Molecular Language Representations Capture Important Structural Information? CoRR (2021)
Youssef Mroueh, Igor Melnyk, Pierre L. Dognin, Jarret Ross, Tom Sercu
Improved Mutual Information Estimation. AAAI (2021)
Ching-Yao Chuang, Youssef Mroueh
Fair Mixup: Fairness via Interpolation. CoRR (2021)
Ching-Yao Chuang, Youssef Mroueh, Kristjan H. Greenewald, Antonio Torralba, Stefanie Jegelka
Measuring Generalization with Optimal Transport. CoRR (2021)
Carles Domingo-Enrich, Youssef Mroueh
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics. CoRR (2021)
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik Altman
Tabular Transformers for Modeling Multivariate Time Series. ICASSP (2021)
Carles Domingo-Enrich, Youssef Mroueh
Tighter Sparse Approximation Bounds for ReLU Neural Networks. CoRR (2021)
Carles Domingo-Enrich, Youssef Mroueh
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics. NeurIPS (2021)
Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld, Bharath K. Sriperumbudur
Cycle Consistent Probability Divergences Across Different Spaces. CoRR (2021)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff
Alleviating Noisy Data in Image Captioning with Cooperative Distillation. CoRR (2020)
Youssef Mroueh, Truyen Nguyen
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow. CoRR (2020)
Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny
Improving Efficiency in Large-Scale Decentralized Distributed Training. ICASSP (2020)
Youssef Mroueh
Wasserstein Style Transfer. AISTATS (2020)
Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das
Learning Implicit Text Generation via Feature Matching. CoRR (2020)
Youssef Mroueh, Mattia Rigotti
Unbalanced Sobolev Descent. NeurIPS (2020)
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik Altman
Tabular Transformers for Modeling Multivariate Time Series. CoRR (2020)
Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das
Learning Implicit Text Generation via Feature Matching. ACL (2020)
Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets. ICLR (2020)
Youssef Mroueh, Mattia Rigotti
Unbalanced Sobolev Descent. CoRR (2020)
Mingrui Liu, Wei Zhang, Youssef Mroueh, Xiaodong Cui, Jarret Ross, Tianbao Yang, Payel Das
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets. NeurIPS (2020)
Adam Block, Youssef Mroueh, Alexander Rakhlin
Generative Modeling with Denoising Auto-Encoders and Langevin Sampling. CoRR (2020)
Raphaël Pestourie, Youssef Mroueh, Thanh V. Nguyen, Payel Das, Steven G. Johnson
Active learning of deep surrogates for PDEs: Application to metasurface design. CoRR (2020)
David Alvarez-Melis, Youssef Mroueh, Tommi S. Jaakkola
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces. AISTATS (2020)
Adam Block, Youssef Mroueh, Alexander Rakhlin, Jerret Ross
Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis. CoRR (2020)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. CoRR (2020)
Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang
Kernel Stein Generative Modeling. CoRR (2020)
Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny
Improving Efficiency in Large-Scale Decentralized Distributed Training. CoRR (2020)
Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin
Learning Implicit Generative Models by Matching Perceptual Features. ICCV (2019)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
Improved Adversarial Image Captioning. DGS@ICLR (2019)
Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos
Sobolev Independence Criterion. CoRR (2019)
Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos
Implicit Kernel Learning. CoRR (2019)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
Adversarial Semantic Alignment for Improved Image Captions. CVPR (2019)
Cícero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre L. Dognin
Learning Implicit Generative Models by Matching Perceptual Features. CoRR (2019)
Youssef Mroueh, Tom Sercu, Mattia Rigotti, Inkit Padhi, Cícero Nogueira dos Santos
Sobolev Independence Criterion. NeurIPS (2019)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu
Wasserstein Barycenter Model Ensembling. CoRR (2019)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Cícero Nogueira dos Santos, Tom Sercu
Wasserstein Barycenter Model Ensembling. ICLR (Poster) (2019)
Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets. CoRR (2019)
David Alvarez-Melis, Youssef Mroueh, Tommi S. Jaakkola
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces. CoRR (2019)
Youssef Mroueh
Wasserstein Style Transfer. CoRR (2019)
Mingrui Liu, Youssef Mroueh, Wei Zhang, Xiaodong Cui, Jerret Ross, Tianbao Yang, Payel Das
Decentralized Parallel Algorithm for Training Generative Adversarial Nets. CoRR (2019)
Youssef Mroueh, Tom Sercu, Anant Raj
Sobolev Descent. AISTATS (2019)
Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos
Implicit Kernel Learning. AISTATS (2019)
Youssef Mroueh, Tom Sercu, Anant Raj
Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport. CoRR (2018)
Youssef Mroueh
Regularized Finite Dimensional Kernel Sobolev Discrepancy. CoRR (2018)
Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng
Sobolev GAN. ICLR (Poster) (2018)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jerret Ross, Tom Sercu
Improved Image Captioning with Adversarial Semantic Alignment. CoRR (2018)
Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng
Sobolev GAN. CoRR (2017)
Youssef Mroueh, Tom Sercu
Fisher GAN. CoRR (2017)
Youssef Mroueh, Tom Sercu, Vaibhava Goel
McGan: Mean and Covariance Feature Matching GAN. CoRR (2017)
Alexandros Koumparoulis, Gerasimos Potamianos, Youssef Mroueh, Steven J. Rennie
Exploring ROI size in deep learning based lipreading. AVSP (2017)
Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
Co-Occurring Directions Sketching for Approximate Matrix Multiply. AISTATS (2017)
Anant Raj, Abhishek Kumar, Youssef Mroueh, Tom Fletcher, Bernhard Schölkopf
Local Group Invariant Representations via Orbit Embeddings. AISTATS (2017)
Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel
Self-Critical Sequence Training for Image Captioning. CVPR (2017)
Youssef Mroueh, Tom Sercu, Vaibhava Goel
McGan: Mean and Covariance Feature Matching GAN. ICML (2017)
Tom Sercu, Youssef Mroueh
Semi-Supervised Learning with IPM-based GANs: an Empirical Study. CoRR (2017)
Youssef Mroueh, Tom Sercu
Fisher GAN. NIPS (2017)
Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
Co-Occuring Directions Sketching for Approximate Matrix Multiply. CoRR (2016)
Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel
Self-critical Sequence Training for Image Captioning. CoRR (2016)
Anant Raj, Abhishek Kumar, Youssef Mroueh, P. Thomas Fletcher, Bernhard Schölkopf
Local Group Invariant Representations via Orbit Embeddings. CoRR (2016)
Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
Deep Multimodal Learning for Audio-Visual Speech Recognition. CoRR (2015)
Youssef Mroueh, Stephen Voinea, Tomaso A. Poggio
Learning with Group Invariant Features: A Kernel Perspective. NIPS (2015)
Carlo Ciliberto, Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco
Convex Learning of Multiple Tasks and their Structure. CoRR (2015)
Youssef Mroueh, Stephen Voinea, Tomaso A. Poggio
Learning with Group Invariant Features: A Kernel Perspective. CoRR (2015)
Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
Multimodal Retrieval With Asymmetrically Weighted Truncated-SVD Canonical Correlation Analysis. CoRR (2015)
Youssef Mroueh, Steven J. Rennie, Vaibhava Goel
Random Maxout Features. CoRR (2015)
Carlo Ciliberto, Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco
Convex Learning of Multiple Tasks and their Structure. ICML (2015)
Youssef Mroueh, Etienne Marcheret, Vaibhava Goel
Deep multimodal learning for Audio-Visual Speech Recognition. ICASSP (2015)
Youssef Mroueh
Robust Phase Retrieval and Super-Resolution from One Bit Coded Diffraction Patterns. CoRR (2014)
Youssef Mroueh, Lorenzo Rosasco
On efficiency and low sample complexity in phase retrieval. ISIT (2014)
Youssef Mroueh, Lorenzo Rosasco
q-ary Compressive Sensing CoRR (2013)
Qianli Liao, Joel Z. Leibo, Youssef Mroueh, Tomaso A. Poggio
Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines? CoRR (2013)
Youssef Mroueh, Lorenzo Rosasco
Quantization and Greed are Good: One bit Phase Retrieval, Robustness and Greedy Refinements. CoRR (2013)
Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco, Jean-Jacques E. Slotine
Multiclass Learning with Simplex Coding. NIPS (2012)
Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco, Jean-Jacques E. Slotine
Multiclass Learning with Simplex Coding CoRR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Youssef Mroueh